# Scene Geometry Grouped Numeric Summary and Date-by-Category Pivot

> Scene Geometry Grouped Numeric Summary and Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Generates two analytical reports for scene geometry data: a grouped numeric summary and a date-by-category pivot table, covering object_count and triangle_count across asset groups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-097?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/scene-geometry-grouped-numeric-summary-and-date-by-category-pivot-0d823b63
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tYl4DR1yrbv_VRs_dH53E

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability scene-geometry-grouped-numeric-summary-and-date-by-category-pivot-0d823b63 -d '<json body>'
```

Example prompt: I have scene geometry records for my 3D project with object_count and triangle_count across two asset groups — can you run both a grouped numeric summary and a date-by-category pivot on these rows, focusing on object_count?

## When to prefer this

Choose this endpoint when you have tabular scene geometry data (object counts and triangle counts across named asset groups and dates) and need both a grouped summary and a date-pivot report in a single low-cost call. It is ideal for 3D asset pipeline reviews, game development budget checks, or animation production analysis where you already have the data locally and need quick aggregation without any external lookup or prediction.

## Known failure modes

- More than 200 rows submitted — request exceeds row limit and will be rejected
- Missing required fields (row_id, asset_group, date, object_count, triangle_count) causes validation failure
- Date fields not matching YYYY-MM-DD format will fail schema validation
- Invalid field enum value (must be 'object_count' or 'triangle_count') returns error
- Empty rows array not accepted — minimum 1 row required
- Payment of 0.01 USDC not provided or rejected blocks execution

## How this service works

Scene geometry — Grouped numeric summary + Date by category pivot: Grouped numeric summary + Date by category pivot for supplied scene geometry records (object_count, triangle_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Two analytical reports delivered together: (1) a grouped numeric summary aggregating object_count or triangle_count statistics across asset_group categories, and (2) a date-by-category pivot table showing the selected metric broken down by date and asset_group. Covers up to 200 input rows, computed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "object_count",
     "triangle_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "object_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "triangle_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "object_count": 10,
     "triangle_count": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "object_count": 20,
     "triangle_count": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "object_count": 15,
     "triangle_count": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "object_count": 30,
     "triangle_count": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "object_count",
    "triangle_count"
   ],
   "type": "string",
   "default": "object_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/scene-geometry-grouped-numeric-summary-and-date-by-category-pivot-0d823b63/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)